I

I 3D Scanned Tomb of Ramesses II, City of Amenhotep with Dr Zahi Hawass

Hacker News

I 3D Scanned Tomb of Ramesses II, City of Amenhotep with Dr Zahi Hawass

I worked for Doctor Zahi Hawass to 3d scan ongoing excavations at the Tomb of Ramesses II, City of Amenhotep III, and excavations at Gisr el-Mudir in Saqqara. [content warning for burial / human remains] Tomb of Ramesses II, Valley of the Kings: https://mused.org/en/guided/229/tomb-of-ramesses-ii-kings-va... City of Amenhotep III: https://mused.org/en/guided/227/city-of-amenhotep-iii Gisr el-Mudir Tomb and Burial, Saqqara: https://mused.org/en/tours/513/egyptian-mission-gisr-el-mudi... Blog about process is here: https://blog.mused.org/unearthing-egypt-doctor-zahis-grand-l... I completed this work with a similar setup to my last post inside Khufu's pyramid: with a Leica BLK 360, Matterport Pro 2, and Fujifilm XT-4. I coded up the guided tours with Typescript and the Matterport SDK. The video renders for the blog were created with Nerfstudio. (The photogrammetry for the body in the burial chamber at Gisr el-Mudir may load slowly, I'm working on optimizing the filesize!) In you're in the United States, make sure to also check out the upcoming lecture series by Doctor Hawass here: https://zahilectures.com/

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ur
Urbaner – Find out what is going on in your city47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Urbaner – Find out what is going on in your city

Hacker News1
Cr
Crowdsource the currently hottest venues in your city51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdsource the currently hottest venues in your city

Hacker News1
Sh
Show HN - A tweetmeme of its own for every city56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN - A tweetmeme of its own for every city

Hacker News25
Af
AffordWhere – Affordability by City38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AffordWhere – Affordability by City

Hacker News1
Tr
Traverse City Platmap with Leaflet and D354%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Traverse City Platmap with Leaflet and D3

Hacker News5
De
Density – The Heartbeat of a City52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Density – The Heartbeat of a City

Hacker News57
AirCamOrb for Oklahoma City Thunder
AirCamOrb for Oklahoma City Thunder67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AirCamOrb for Oklahoma City Thunder

Indie Hackerscommitment-full-time
Ashiya City Funeral
Ashiya City Funeral29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ashiya City Funeral

Indie Hackers
City Lingerie
City Lingerie36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Adult accessoires

Indie Hackerscommitment-side-project
Reliaable Prime City
Reliaable Prime City78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BDA Approved Plots

Indie Hackerscommitment-full-time